Autodesk had 13 patents in 3D printing during Q2 2024. Autodesk Inc filed patents in Q2 2024 for computer-aided design methods that include providing a hybrid surface model with subdivision surfaces and NURBS surfaces, instructions for printing 3D objects with modified process parameters based on geometric features, and a method for converting generative designs into editable B-Reps by embedding exact input solid boundary surfaces and approximating the rest with smooth, editable surfaces. GlobalData’s report on Autodesk gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Autodesk had no grants in 3D printing as a theme in Q2 2024.
Recent Patents
Application: Hybrid surface modelling with subdivision surfaces and nurbs surfaces (Patent ID: US20240184934A1)
Autodesk Inc. has filed a patent for a computer-aided design system that involves a hybrid surface model combining subdivision surfaces and NURBS surfaces. The method includes modifying the subdivision surface, updating the limit surface, finding and updating the NURBS surfaces, and applying previous edits using associated history procedures. The system allows for direct editing of NURBS surfaces using NURBS modeling tools, with topological information guiding the modifications and ensuring consistency in the design process.
Furthermore, the patent claims cover various aspects of the method, including receiving input for modifying the subdivision surface, using NURBS modeling tools on the surfaces, retaining history procedures for future modifications, and exporting the hybrid model to applications that do not support NURBS surfaces. The system is designed to support animation production programs and includes instructions for data processing apparatus to handle modifications, updates, and reapplications of edits to ensure a seamless design process.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
